Este documento presenta un conjunto visualizaciones de datos elaborados de datos elaborados con paquetes del lenguaje R como ggplot, plotly y DT
#Carga de bibliotecas
library(tidyverse)
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✔ purrr 1.0.1
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library(plotly)
Attaching package: 'plotly'
The following object is masked from 'package:ggplot2':
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Warning in instance$preRenderHook(instance): It seems your data is too big for
client-side DataTables. You may consider server-side processing:
https://rstudio.github.io/DT/server.html
# Carga del archivo CSV de entrada en un dataframe# con la función read_delim() de readrcovid_general <-read_delim(file ="https://raw.githubusercontent.com/gf0604-procesamientodatosgeograficos/2023-i/main/datos/ministerio-salud/covid/05_30_22_CSV_GENERAL.csv",col_select =c("FECHA","positivos","activos","RECUPERADOS","fallecidos","nue_posi","nue_falleci","salon","UCI" ) )# Cambio de nombre de columnascovid_general <- covid_general |>rename(fecha = FECHA,recuperados = RECUPERADOS,nuevos_positivos = nue_posi,nuevos_fallecidos = nue_falleci,uci = UCI )# Cambio de tipo de datos de la columna fecha, de str a datecovid_general <- covid_general |>mutate(fecha =as.Date(fecha, format ="%d/%m/%Y"))# Despliegue de datoscovid_general |>datatable()